The design was optimized to minimize the expected sample size
under the alternative hypothesis for a one-armed trial.
The boundaries are chosen to control the type I error at 0.025
for a normally distributed test statistic (i.e. known variance).
For an alternative hypothesis of mu=0.4, the overall power is 80%.
Usage
get_example_design(two_armed = FALSE, label = NULL)
Arguments
- two_armed
(logical) determins whether the design is for one- or
two-armed trials.
- label
(optional) label to be assigned to the design.
Value
an exemplary design of class TwoStageDesign. This object
contains information about the sample size recalculation rule n2, the
futility and efficacy boundaries c1f and c1e and the
second-stage rejection boundary c2.
Examples
get_example_design()
#> TwoStageDesign<n1=28;0.8<=x1<=2.3:n2=9-40>